SmartSens Unveils Automotive Vision Portfolio at AutoSens USA 2026

2026-06-18 · Source: The AI Journal · Field: Transportation & Mobility — Autonomous Vehicles & Smart Transportation, Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Intermediate, quick

Summary

SmartSens unveiled its latest automotive-grade (AT) series image sensors and vision solutions at AutoSens USA 2026, held from June 9–11 in Detroit. The company showcased a high-performance front-view solution combining its 8.3MP SC860AT CMOS image sensor with the Flyingchip M1 vision processing chip, designed to enhance ADAS. For 360° surround-view applications, SmartSens presented a system powered by its 3MP SC360AT image sensor. An in-cabin occupant monitoring system (OMS) platform, featuring the 5MP SC533AT sensor and Flyingchip M1 chip, detects occupant status and monitors children or pets. Additionally, a driver monitoring system (DMS) solution utilized the 2.3MP SC233AT global shutter image sensor. SmartSens USA General Manager Wang Xiaoyong also discussed the company's "CIS + AI SoC" approach and previewed Flyingchip's upcoming M2 automotive ISP chip, intended for next-generation automated driving systems.

Key takeaway

For automotive vision engineers developing next-generation ADAS or in-cabin safety systems, SmartSens' integrated sensor and ISP solutions offer specific component choices. You should evaluate the 8.3MP SC860AT with Flyingchip M1 for front-view ADAS, or the 5MP SC533AT with M1 for comprehensive occupant monitoring. Consider the upcoming Flyingchip M2 ISP for future automated driving systems, as it promises enhanced vision-processing capabilities crucial for large-scale deployment.

Key insights

SmartSens integrates high-resolution image sensors with AI-enabled ISPs for comprehensive automotive vision solutions.

Principles

• High dynamic range and resolution are critical for automotive CIS.
• A "CIS + AI SoC" approach enhances automotive vision sensing.
• Global shutter sensors improve real-time driver monitoring accuracy.

In practice

• Integrate 8.3MP sensors for enhanced ADAS front-view perception.
• Deploy 3MP sensors for accurate 360° surround-view systems.
• Use 5MP sensors with AI chips for comprehensive in-cabin monitoring.

Topics

• Automotive Image Sensors
• ADAS
• In-Cabin Monitoring
• Driver Monitoring Systems
• Vision Processing Units
• CMOS Sensors

Best for: AI Hardware Engineer, Computer Vision Engineer, Robotics Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.